Uploaded December 2025 | Updated September 2026, 1 week ago
This talk introduces IBM’s new Samplamatic framework and the executor primitive, showing how they enable scalable, transparent quantum error mitigation. You’ll learn how dressed layers, twirling, and noise injection are declared with Qiskit “boxes,” how Samplamatic turns those declarations into Samplex randomization graphs, and how executor runs them efficiently through shot loops and batch loops. The result is a fully introspectable, high-performance workflow for building and scaling mitigation techniques on today’s quantum hardware.
This talk introduces IBM’s new Samplamatic framework and the executor primitive, showing how they enable scalable, transparent quantum error mitigation. You’ll learn how dressed layers, twirling, and noise injection are declared with Qiskit “boxes,” how Samplamatic turns those declarations into Samplex randomization graphs, and how executor runs them efficiently through shot loops and batch loops. The result is a fully introspectable, high-performance workflow for building and scaling mitigation techniques on today’s quantum hardware.
